信息工程 |
|
|
|
|
基于脊路跟踪的变分非线性调频模态分解方法 |
赵雅琴1(),聂雨亭1,吴龙文1,*(),张宇鹏2,何胜阳1 |
1. 哈尔滨工业大学 电子与信息工程学院,黑龙江 哈尔滨 150001 2. 华为技术有限公司北京研究所,北京 100095 |
|
Multi-component signal separation using variational nonlinear chirp mode decomposition based on ridge tracking |
Ya-qin ZHAO1(),Yu-ting NIE1,Long-wen WU1,*(),Yu-peng ZHANG2,Sheng-yang HE1 |
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China 2. Beijing Research Institute, Huawei Technology Limited Company, Beijing 100095, China |
引用本文:
赵雅琴,聂雨亭,吴龙文,张宇鹏,何胜阳. 基于脊路跟踪的变分非线性调频模态分解方法[J]. 浙江大学学报(工学版), 2020, 54(10): 1874-1882.
Ya-qin ZHAO,Yu-ting NIE,Long-wen WU,Yu-peng ZHANG,Sheng-yang HE. Multi-component signal separation using variational nonlinear chirp mode decomposition based on ridge tracking. Journal of ZheJiang University (Engineering Science), 2020, 54(10): 1874-1882.
链接本文:
http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2020.10.002
或
http://www.zjujournals.com/eng/CN/Y2020/V54/I10/1874
|
1 |
GILLES J Empirical wavelet transform[J]. IEEE Transactions on Signal Processing, 2013, 61 (16): 3999- 4010
doi: 10.1109/TSP.2013.2265222
|
2 |
BHATTACHARYYA A, PACHORI R B A multivariate approach for patient-specific EEG seizure detection using empirical wavelet transform[J]. IEEE Transactions on Biomedical Engineering, 2017, 64 (9): 2003- 2015
doi: 10.1109/TBME.2017.2650259
|
3 |
HUANG N E, SHEN Z, LONG S R, et al The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A: Mathematical Physical and Engineering Sciences, 1998, 454 (1971): 903- 995
doi: 10.1098/rspa.1998.0193
|
4 |
DRAGOMIRETSKIY K, ZOSSO D Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62 (3): 531- 544
doi: 10.1109/TSP.2013.2288675
|
5 |
CHEN S Q, DONG X J, PENG Z K, et al Nonlinear chirp mode decomposition: a variational method[J]. IEEE Transactions on Signal Processing, 2017, 65 (22): 6024- 6037
doi: 10.1109/TSP.2017.2731300
|
6 |
REDDY G R S, RAO R Analysis of multi-component non-stationary signals using Fourier-Bessel series and Wigner-Hough transform[J]. Journal of Electronic Science and Technology, 2017, 15 (1): 69- 76
|
7 |
施闻明, 朱海, 杨晓东. 基于自适应核函数的Wigner变换方法研究[C]//第13届中国系统仿真技术及其应用学术年会, 黄山: Scientific Research Publish, 2011: 126-129. SHI Wen-ming, ZHU Hai, YANG Xiao-dong. Research on Wigner transform based on adaptive kernel function [C]// 13th System Simulation Technology and Application. Huangshan: Scientific Research Publish, 2011: 126-129.
|
8 |
KHAN N A, BOASHASH B Instantaneous frequency estimation of multicomponent nonstationary signals using multiview time-frequency distributions based on the adaptive fractional spectrogram[J]. IEEE Signal Processing Letters, 2013, 20 (2): 157- 160
doi: 10.1109/LSP.2012.2236088
|
9 |
STANKOVIC L, THAYAPARAN T, DAKOVIC M, et al Micro-Doppler removal in the radar imaging analysis[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49 (2): 1234- 1250
doi: 10.1109/TAES.2013.6494410
|
10 |
CHEN S Q, DONG X J, XING G P, et al Separation of overlapped non-stationary signals by ridge path regrouping and intrinsic chirp component decomposition[J]. IEEE Sensors Journal, 2017, 17 (18): 5994- 6005
doi: 10.1109/JSEN.2017.2737467
|
11 |
BARKAT B, ABED-MERAIM K Algorithms for blind components separation and extraction from the time-frequency distribution of their mixture[J]. Eurasip Journal on Applied Signal Processing, 2004, 2004 (13): 2025- 2033
|
12 |
PICINBONO B On instantaneous amplitude and phase of signals[J]. IEEE Transactions on Signal Processing, 1997, 45 (3): 552- 560
doi: 10.1109/78.558469
|
13 |
MEIGNEN S, PHAM D H, MCLAUGHLIN S On demodulation, ridge detection, and synchrosqueezing for multicomponent signals[J]. IEEE Transactions on Signal Processing, 2017, 65 (8): 2093- 2103
doi: 10.1109/TSP.2017.2656838
|
14 |
PAB M C, LIN Y F Further exploration of Vold-Kalman-filtering order tracking with shaft-speed information I: theoretical part, numerical implementation and parameter investigations[J]. Mechanical Systems and Signal Processing, 2006, 20 (5): 1134- 1154
doi: 10.1016/j.ymssp.2005.01.005
|
15 |
HOU T Y, SHI Z Q Sparse time-frequency decomposition based on dictionary adaptation[J]. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 2016, 374 (2065): 1- 16
|
16 |
STEPHEN B, NEAL P, ERIC C, et al. Distributed optimization and statistical learning via the alternating direction method of multipliers [M]// Foundations and Trends in Machine Learning. Boston: Now Publishers, 2011, 3(1): 1-122.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|